34 reinforcement learning engineer jobs at 19 companies in Novato, CA
4w
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Reinforcement Learning Engineer (Cybersecurity)
United States or San Francisco or New Hampshire
$176k-$243k/yr RemoteFull Time
Experience with reinforcement learning workflows, Linux ML environments, vulnerability research/binary exploitation, proficiency in Python and C, DevOps pipelines and reproducible builds, and low-level debugging.
Mayhem, GitHub Actions, docker, buildkit, nix, Python, C, Rust, Linux
3mo
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(Senior) Machine Learning Engineer - Reinforcement Learning
Fremont, California, United States
$150k-$250k/yr OnsiteFull Time
3+ YOEM.S./Ph.D. or equivalent experience; 3+ years building production ML with strong RL experience; depth in deep learning and generative models; distributed training and large-scale data processing; strong communication.
Python, PyTorch, LLM, VLM, dLLM, VLA
1w
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Senior/Staff Deep Reinforcement Learning Engineer
San Francisco, California, United States
$168k-$247k/yr OnsiteFull Time
BS, MS, or PhD in CS, EE, Robotics, or related field; deep RL and deep learning expertise; large-scale RL training; JAX or similar framework; GPU simulation and software development experience.
JAX, Claude Code, Codex, Cursor, NeurIPS, ICML, ICLR, CoRL, RSS, ICRA
1mo
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Member of Technical Staff – Senior Engineer, Reinforcement Learning – Policy Post-Training
Cambridge or San Francisco
$255k-$340k/yr OnsiteFull Time
Hands-on RL experience for manipulation, sim-to-real transfer, reward and curriculum design, strong software engineering, and ability to run large-scale training and experiments.
Isaac, MuJoCo
2mo
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Machine Learning Engineer - Reinforcement Learning
Fremont, California, United States
$150k-$250k/yr OnsiteFull Time
MS/PhD in CS/ML/AI or related field, or equivalent experience; RL/production ML experience; deep learning, sequence modeling, generative models; publish or ship impactful ML systems; large-scale training and data processing; lead ambiguous work.
Python, PyTorch, Reinforcement Learning
2w
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Research Scientist / Engineer – Reinforcement Learning Infrastructure
Redwood City, California, United States
HybridFull Time
Experience operating post-trained LLMs with reinforcement learning at scale, distributed PyTorch training, building RL environments and reward infrastructure, and debugging large asynchronous rollout pipelines.
vLLM, SGLang, PyTorch, FSDP, Tensor Parallel, Pipeline Parallel, Expert Parallel, veRL, OpenRLHF, TRL, Ray, NCCL, MPI, Kubernetes
2mo
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Machine Learning Engineer
Ann Arbor or San Francisco or Houston
$120k-$160k/yr OnsiteFull Time
0+ YOE0–4 years ML or scientific computing experience; strong ML fundamentals and deep learning exposure; reinforcement learning a plus; proficiency in Python; ability to debug codebases and collaborate with process/chemistry experts.
Python
1mo
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Research Engineer, Chip Design RL (Reinforcement Learning)
San Francisco or New York City
$500k-$850k/yr HybridFull Time
Bachelor's or equivalent, expertise in ASIC/FPGA design and EDA tools, experience with RTL, verification (UVM, formal methods), physical design and tapeout experience; RL experience and tooling experience preferred.
EDA tools, UVM, formal methods, place-and-route
1w
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Machine Learning Engineer, Drive
San Francisco or Sunnyvale or Seattle
$137k-$202k/yr OnsiteFull Time
5+ YOERequires 5+ years building production ML systems, Python, PyTorch, Spark, Airflow, modern ML infrastructure, and expertise in deep learning, reinforcement learning, optimization, LLMs, or VLMs.
PyTorch, Spark, Airflow, Python, Claude Code, Codex, Cursor, large language models (LLMs), vision-language models (VLMs)
1mo
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Machine Learning Engineer - Simulation Framework
Foster City or Seattle
$151k-$257k/yr HybridFull Time
Master's or PhD in CS/robotics/ML, deep reinforcement learning experience, strong C++ and Python skills, hands-on with JAX or PyTorch, experience bridging sim-to-real fidelity gaps and working with GPU/CUDA environments.
JAX, PyTorch, C++, Python, CUDA
1w
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Applied ML Engineer
San Francisco, California, United States
$170k-$280k/yr OnsiteFull Time
3+ YOE3+ years applied ML experience; experience building, training, fine-tuning, or evaluating ML models; dataset creation and evaluation; experiment design; familiarity with LLMs and reinforcement learning techniques.
TypeScript, React, Golang, Temporal, Google Cloud (GCP), Postgres, Terraform, Swift, Python, Rust
2mo
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Senior Robotics/Physical AI Manipulation Engineer
Menlo Park, California, United States
HybridFull Time
3+ YOEMS or PhD in Robotics/CS, 3+ years shipping code for physical robots, expertise in manipulation planning, imitation or reinforcement learning, production Python and C++ experience, familiarity with sim-to-real.
Python, C++, Isaac Lab, MuJoCo
1mo
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Research Engineer / Research Scientist - RE / RS - Proactivity
San Francisco, California, United States
$295k-$555k/yr HybridFull Time
Strong ML engineering and research experience with LLM post-training, reinforcement learning, dataset creation, evaluations, and ability to work in a large ML codebase.
6d
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Staff ML Engineer, Perception Research
Mountain View or New York City or Kirkland or San Francisco
$251k-$310k/yr HybridFull Time
4+ YOEMaster's or PhD in a technical field and 4+ years of industry or postdoctoral research experience in reinforcement learning or foundation models. Requires distributed training, JAX, Flax, and Transformer optimization expertise.
JAX, Flax, TensorFlow, PyTorch, FSDP, xprof, Gemax, XManager
1mo
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Staff Research Engineer, Data Agents
San Francisco, California, United States
$190k-$270k/yr OnsiteFull Time
2+ YOEBS/MS/PhD in CS or related; 2+ years applied research with shipped prototypes; experience with LLMs, agents, reinforcement learning, and post-training workflows; strong communication and cross-functional collaboration.
Apache Spark, Delta Lake, MLflow, Genie
2mo
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Founding Engineer, Applied Research
San Francisco, California, United States
OnsiteFull Time
0+ YOEExperience with ML research, language models, NLP, evals, reinforcement learning, agentic systems, and model improvement; demonstrated technical depth via papers/projects/internships; new grads through ~5-6 years experience considered.
1mo
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Member of Technical Staff, Platform Engineering
San Francisco, California, United States
OnsiteFull Time
Deep technical fluency in evaluations, reinforcement learning, LLMs and agents; research-oriented with ability to read SOTA papers; highly proficient coding agents (e.g., Codex, Claude Code); ownership mindset and experience building scalable systems.
Codex, Claude Code
1mo
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Member of Technical Staff, Post-Training, RL Environments
San Francisco, California, United States
$350k-$500k/yr OnsiteFull Time
Build and own data systems and execution environments for reinforcement learning; experience with long-horizon RL tasks, scalable sandboxed environments, and preventing reward hacking; strong collaboration and system-design skills.
2w
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Member of Technical Staff — Agent Post-Training
San Francisco, California, United States
OnsiteFull Time
Experience training large language, vision-language, multimodal, or code models; strong reinforcement learning and post-training expertise; distributed training and high-throughput systems experience; Python and PyTorch/JAX proficiency.
Python, PyTorch, JAX
3w
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Founding Research Scientist
San Francisco, California, United States
OnsiteFull Time
Hands-on ML experience training large models, reinforcement learning (RLHF/RLAIF), reward modeling, and ability to work across research and engineering.
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